Artificial Intelligence Using Swift

Course overview

CoreML, NLP, Deep Learning, NLP, natural language processing, question answering, Semantic Web and Linked Data, Knowledge Graphs, Knowledge Representation

26 chapters
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The Book

Artificial Intelligence Using Swift26 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Part 1: Getting Started with Swift for AI Development

  4. Setting Up Swift for Command Line Development

  5. Background Information for Writing Swift Command Line Utilities

  6. Web Scraping

  7. Part 2: Large Language Models

  8. Using the OpenAI LLM APIs

  9. Using Ollama to Run Local LLMs

  10. Running Local LLMs with Apple’s MLX Framework

  11. Using the AnyLanguageModel Package with OpenAI, Gemini, and Ollama

  12. Part 3: Deep Learning, Natural Language Processing, and Retrieval-Augmented Generation

  13. Deep Learning Introduction

  14. Natural Language Processing Using Apple’s Natural Language Framework

  15. Document Question Answering Using Gemini APIs and a Local Embeddings Vector Database

  16. Part 4: The Semantic Web, Knowledge Graphs, and Linked Data

  17. Linked Data and the Semantic Web

  18. Querying Knowledge Graphs with SPARQL and Swift

  19. Part 5: Apple Intelligence — On-Device LLMs with FoundationModels

  20. Using Apple Intelligence’s Default System Model To Build a Chat Command Line Tool

  21. Using Apple Intelligence to Build a Coding Assistant

  22. Part 6: Applied AI Projects

  23. Knowledge Base Navigator: Building an AI-Powered Information System

  24. Anomaly Detection

  25. AutoContext: Prepare Effective Prompts with Context for LLM Queries

  26. Book Wrap Up